Defense Engines AI Transformation Leader

GE Aerospace

. Own the lifecycle of multiple interdependent data, analytics, and AI products spanning planning, forecasting, and production for the DES delivery transformation program .

Posted 10/17/2026full-timeRemote • Ohio • United StatesSenior💰 $176,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the lifecycle of data, analytics, and AI products, with a strong focus on operationalizing advanced analytics and embedding capabilities within manufacturing environments. Proficient in developing data pipelines, ontology models, and leveraging machine learning to drive value in digital transformation initiatives.

Highest-signal resume keywords

Data Pipeline ProductionFluency In PythonAdvanced Analytics Product ManagementMachine Learning ProficiencyLean Six Sigma Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ProductionOntology And Semantic ModelsFunctional User InterfacesMachine LearningLarge Language ModelsData GovernanceData ModelingSQLPythonAgent Workflows

Soft Skills

Stakeholder EngagementMentoringInfluencing LeadershipCollaborationSystems Thinking

Tools & Technologies

MESERPShop-Floor TechnologyData FabricDaily Management System

Industry Keywords

Manufacturing DataMRO DataExport ControlCybersecurityResponsible AI

Tech Stack

Tools & technologies

Cyber SecurityERPPythonSQL

About the role

Key responsibilities & impact

Own the lifecycle of multiple interdependent data, analytics, and AI products spanning planning, forecasting, and production for the DES delivery transformation program
Represent the customer in scope and sequencing tradeoffs
Build and maintain the DES data and analytics product roadmap
Identify and secure stakeholders needed to support the roadmap
Establish self-service data and analytics on manufacturing, quality, and delivery data
Operationalize and sustain value from advanced analytics and agentic AI investments
Partner with central DT and Enterprise Data on data fabric and ontology adoption
Take AI-enabled ideas from concept to working software and prototypes using real production data
Embed with operators, planners, and engineers at the Genba and build capabilities with them
Use rapid prototyping within Daily Management to address KPI and TTI gaps
Define value cases using delivery metrics and report outcomes against 2026 DES measures
Influence Executive Band leaders and align Digital Technology spending with value-stream priorities
Set data and AI standards across the DES horizontal
Mentor product managers and engineers on systems thinking and experimental product practice
Manage supplier and contractor partners delivering analytics and AI work
Lead risk management covering export control, cybersecurity, data governance, and responsible AI

Requirements

What you’ll need

Bachelor’s degree from an accredited university or college with minimum of 10 years of professional experience OR Associate’s degree with minimum of 13 years of professional experience OR High School Diploma with minimum of 15 years of professional experience
Minimum 8 years of professional experience in IT
Military experience is equivalent to professional experience
Ability to travel 10–50%
Legal authorization to work in the U.S.; employment visa sponsorship is not available now or in the future
Ability to prove U.S. Person status for access to U.S. export-controlled information: U.S. lawful permanent resident, U.S. Citizen, or granted asylee/refugee status
Hands-on experience producing data pipelines, ontology and semantic models, notebooks, agent workflows, and functional user interfaces
Fluency in Python, SQL, or equivalent
Ability to move ideas from proof of concept through medium- and high-fidelity prototypes
Experience owning data platform and advanced analytics products at scale, including ingestion, modeling, governance, performance, and self-service consumption
Working fluency with machine learning, large language models, retrieval, and agentic patterns
Working knowledge of manufacturing and MRO data and systems, including MES, ERP, quality, and shop-floor technology
Technology, process, and domain expertise to influence product design
Track record of understanding current and emerging technologies through training, job experience, or industry activities
Understanding of Lean Six Sigma principles and comfort operating inside a Daily Management system

Benefits

Comp & perks

Annual discretionary bonus based on a percentage of base salary / commission based on the plan
Medical, dental, vision, and prescription drug coverage
Health Coach from GE Aerospace
Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
GE Aerospace Retirement Savings Plan
401(k) savings plan with company matching contributions
Company retirement contributions
Fidelity resources and planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability insurance
Life insurance
Paid time off for vacation or illness
Professional development
Relocation assistance not provided